Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased interest for the...

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Veröffentlicht in:	Journal of intensive medicine Jg. 1; H. 2; S. 110 - 116
Hauptverfasser:	Romeo, Luca, Moccia, Sara, Bernardini, Michele, Migliorelli, Lucia, Berardini, Daniele, Donati, Abele, Carsetti, Andrea, Bocci, Maria Grazia, Wendel Garcia, Pedro David, Guerci, Philippe, Ince, Can, Frontoni, Emanuele, Hilty, Matthias Peter, Alfaro-Farias, Mario, Vizmanos-Lamotte, Gerardo, Tschoellitsch, Thomas, Aguirre-Bermeo, Hernán, Apolo, Janina, Jurkolow, Geoffrey, Delahaye, Gauthier, Staudacher, Dawid L., David, Sascha, Welte, Tobias, Aslanidis, Theodoros, Korsos, Anita, Babik, Barna, Nikandish, Reza, Nova, Alice, Fogagnolo, Alberto, Ceriani, Roberto, Wu, Maddalena A., Cogliati, Chiara, Colombo, Riccardo, Catena, Emanuele, Turrini, Fabrizio, Simonini, Maria Sole, Fabbri, Silvia, Potalivo, Antonella, Gangitano, Gianfilippo, Antonelli, Massimo, Gommers, Diederik, Rodríguez-García, Raquel, Gámez-Zapata, Jorge, Taboada-Fraga, Xiana, Castro, Pedro, Escós-Orta, Jesús, Martín-Delgado, Maria C., Algaba-Calderon, Angela, Franch-Llasat, Diego, Roche-Campo, Ferran, Lozano-Gómez, Herminia, Zalba-Etayo, Begoña, Michot, Marc P., Klarer, Alexander, Schott, Peter, Merki, Lukas, Lambert, Adriana, Laube, Marcus, Wiegand, Jan, Westphalen, Andrea, Salomon, Petra, Hillgaertner, Frank, Petersen, Lina, Ksouri, Hatem, Sridharan, Govind Oliver, Cereghetti, Sara, Boroli, Filippo, Grazioli, Serge, Rimensberger, Peter C., Bürkle, Christian, Fleisch, Isabelle, Lavanchy, Jerome, Perez, Marie-Helene, Ramelet, Anne-Sylvie, Weber, Anja Baltussen, Christ, Andreas, Ceruti, Samuele, Glotta, Andrea, Marquardt, Katharina, Redecker, Hermann, Moret-Bochatay, Mallory, Brem, Jan, Gehring, Nadine, Selz, Daniela, Kleger, Gian-Reto, Pietsch, Urs, Filipovic, Miodrag, Sepulcri, Michael, Heise, Antje, Laurent, Jean-Christophe, Wendel Garcia, Pedro D., Heuberger, Dorothea, Bühler, Philipp, Brugger, Silvio, Fodor, Patricia, Locher, Pascal, Jovic, Marija, Haberthuer, Christoph, Lussman, Roger F., Colak, Elif
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	China Elsevier B.V 01.10.2021 Chinese Medical Association. Published by Elsevier B.V Elsevier
Schlagworte:	Clinical decision support system (CDSS) COVID-19 Critical Care Critical Care/Intensive Care Extreme gradient boosting (XGBoost) Machine learning Multiple organ failure Organ dysfunction score Original COVID-19 Multiple organ failure Extreme gradient boosting (XGBoost) Clinical decision support system (CDSS) Organ dysfunction score Machine learning
ISSN:	2667-100X, 2667-100X
Online-Zugang:	Volltext
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